Researcher in Data Analysis and Integration for Urban Vegetation (M/F)

New

Littoral, environnement, télédétection, géomatique

RENNES • Ille-et-Vilaine

  • Researcher in FTC
  • 6 months
  • Doctorate

This offer is available in English version

This offer is open to people with a document recognizing their status as a disabled worker.

Offer at a glance

The Unit

Littoral, environnement, télédétection, géomatique

Contract Type

Researcher in FTC

Working hHours

Full Time

Workplace

35043 RENNES

Contract Duration

6 months

Date of Hire

01/11/2026

Remuneration

3040 to 4200

Apply Application Deadline : 24 September 2026 23:59

Job Description

Missions

The Research Officer will be responsible for analysing and integrating the datasets generated within the different components of the project. In particular, they will investigate relationships between remote sensing data and the ecophysiological and metabolomic parameters obtained under controlled experimental conditions, and subsequently assess the relevance of these relationships using in situ data collected in Rennes and Toulouse. The position will contribute to the identification of indicators for a better characterization of urban vegetation functioning.

Activity

The Research Officer will contribute to the preparation, quality control and analysis of the different datasets. They will implement statistical and data analysis methods appropriate to the scientific questions addressed by the project and contribute to the interpretation of results in close collaboration with consortium members. They will participate in project meetings and scientific exchanges, as well as in knowledge dissemination activities, including the preparation of scientific presentations and publications. Particular attention will be paid to the documentation and reproducibility of the analytical workflows developed.

Your Profil

Skills

PhD in ecology, agronomy, plant biology, remote sensing, ecophysiology, or a related scientific field.
Initial experience in the analysis and processing of scientific data.
Good knowledge of statistics and/or data analysis methods.
Experience with programming or data analysis tools, particularly R and/or Python.
Ability to integrate and interpret data from different sources.
Interest in, or initial experience with, remote sensing, ecophysiological and/or metabolomic data analysis.
Ability to work independently while contributing effectively to a multidisciplinary research team.
Strong scientific communication skills, both written and oral.
Ability to disseminate research findings through scientific presentations and publications.
Scientific rigour, curiosity, and the ability to rapidly develop new methodological skills.

Your Work Environment

The position will be based at the LETG laboratory in Rennes and will involve close collaboration with the ECOBIO laboratory (CNRS/University of Rennes), the SYLVA laboratory (INRAE), and ONERA (DOTA).

Constraints and risks

The position will mainly involve computer-based work and does not present any specific occupational risks. Occasional travel may be required for project meetings and scientific activities. The position involves prolonged use of computer equipment and, occasionally, participation in activities conducted at experimental sites

Compensation and benefits

Compensation

3040 to 4200

Annual leave and RTT

44 jours

Remote Working practice and compensation

Pratique et indemnisation du TT

Transport

Prise en charge à 75% du coût et forfait mobilité durable jusqu’à 300€

About the offer

Offer reference UMR6554-JEANAB-008
CN Section(s) / Research Area Molecular and structural biology, biochemistry

About the CNRS

The CNRS is a major player in fundamental research on a global scale. The CNRS is the only French organization active in all scientific fields. Its unique position as a multi-specialist allows it to bring together different disciplines to address the most important challenges of the contemporary world, in connection with the actors of change.

CNRS

The research professions

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Researcher in Data Analysis and Integration for Urban Vegetation (M/F)

Researcher in FTC • 6 months • Doctorate • RENNES

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